148results about How to "Accurate score" patented technology

The present invention is a system, method, and program product that comprises a computer with a collection of documents to be searched. The documents contain free form (natural language) text. We define a set of labels called QA-Tokens, which function as abstractions of phrases or question-types. We define a pattern file, which consists of a number of pattern records, each of which has a question template, an associated question word pattern, and an associated set of QA-Tokens. We describe a query-analysis process which receives a query as input and matches it to one or more of the question templates, where a priority algorithm determines which match is used if there is more than one. The query-analysis process then replaces the associated question word pattern in the matching query with the associated set of QA-Tokens, and possibly some other words. This results in a processed query having some combination of original query tokens, new tokens from the pattern file, and QA-Tokens, possibly with weights. We describe a pattern-matching process that identifies patterns of text in the document collection and augments the location with corresponding QA-Tokens. We define a text index data structure which is an inverted list of the locations of all of the words in the document collection, together with the locations of all of the augmented QA-Tokens. A search process then matches the processed query against a window of a user-selected number of sentences that is slid across the document texts. A hit-list of top-scoring windows is returned to the user.

A method for diagnosing, assessing, and determining of the efficacy of a treatment regimen for chronic rhinosinusitis is presented. The method comprises collecting subjective information from a patient or patient population in the form of patient entries into a daily diary, wherein the daily diary comprises the patient responses to questions directed to the presence or absence of a group of clinical signs and symptoms related to chronic rhinosinusitis. Based upon the patient responses in the daily diaries, certain of the clinical signs and symptoms are identified for use in the generation of a scoring tool useful in the determination and assessment of the efficacy of a treatment regimen for chronic rhinosinusitis, as well as in the clinical determination of the severity of the symptoms related to chronic rhinosinusitis.

The invention discloses an automatic cloth defect point detection and recognition device and method based on machine vision. The method includes the steps of taking the picture of a piece of defect-point-free cloth through a camera to serve as a standard image, saving the standard image into a computer, extracting the characteristic parameters of the standard image through an image processing method based on the combination of wavelet conversion and a protection method, taking the picture of a piece of to-be-detected cloth in real time through the camera, extracting the characteristic parameters, setting the accuracy range according to the requirements, comparing the to-be-detected image with the standard image and analyzing the to-be-detected image and the standard image, judging whether defect points exist or not according to whether the characteristic parameters of the to-be-detected image are within the accuracy range or not, saving the image with the defect points if the defect points exist, recognizing the defect points in the image containing the defect points through an image processing method based on optimized threshold value segmentation, completing classifying and grading of the defect points, and conducting level evaluation on the whole cloth. The device and the method overcome the defects that traditional manual visual measurement is low in speed and accuracy and high in detection omission rate and false drop rate, the labor intensity of manual defect point classification is lowered, and the device and the method have the advantage of being accurate in grading.

The invention discloses a method for automatically establishing back-of-book indexes of a book based on book contents. The method comprises the following steps: first, analyzing text in a digital book; taking a chapter as a unit, and performing part-of-speech tagging on the text by using a natural language processing tool to obtain a part-of-speech array; matching by utilizing a high-frequency part-of-speech rule, and extracting candidate phrases; then, classifying to obtain the phrases to serve as candidate index terms by using a support vector machine algorithm by utilizing semantic and grammatical characteristics; calculating the similarity between the candidate index terms and the field corresponding to the book to serve as termhood; calculating information amounts, term frequency, point mutual information and encyclopedia key values to obtain an index degree; calculating a title offset distance, a candidate index term proportion and interestingness to obtain a context weight value; finally, combining the termhood, the indexing degree and the context weight value to obtain an index score, and obtaining the book index terms through limited sequencing. According to the method, the indexes can be added to the book which does not have the back-of-book terms, and the readability and the searchability of the book are improved.

The invention is applicable to computer aided instruction for engineering drawing. According to different users, the method decomposes relevant functions into different module units including management module based on network, kernel module for judging credit based on detailed analyzing knowledge points, module for students to submit homework, module for completing homework and querying feed back, and networked module for managing titles of engineering drawing. Under specific requirement, the system can implement specific rules for judging credits, possessing better flexibility. According to presetting rules, the method can mark highlighted tags on error positions in graph. Through colors, linewidth, line type, and text discrition, taking full advantage of graphical display, the invention realizes adding artificial comment automatically.

The invention provides a karaoke scoring method based on voice matching. In a singing process, an audio frequency of an original singer is extracted. Simultaneously sound of a user is continuously extracted, and an audio characteristic of the user is calculated. Furthermore the audio characteristic of the user is compared with the audio characteristic of the original singer sentence by sentence. Scoring is performed according to different weights. According to the karaoke scoring method, factors of tone, tone quality, volume, rhythm, time length, etc. are not considered; and sound essence is considered. The essential characteristic of the sound is considered. The spectral characteristic of the sound is analyzed. The factors can be comprehensively considered, and a corresponding calculating is performed, thereby obtaining a more comprehensive and more accurate scoring result.

The invention provides a speech recognition method, a device and a storage medium, which relate to the computer technical field. The method comprises the following steps: acquiring at least two candidate recognition results and scores thereof of speech information to be recognized provided by a current user; extracting key words of preset type from each candidate recognition result according to preset keyword extraction rules; using the extracted key words and the scores of the candidate recognition results, the scores of each candidate recognition result are corrected, and the final recognition result of the speech information to be recognized is determined according to the correction result. As that embodiment of the present application revise the score of the candidate recognition result by using the key word extracted from the candidate recognition result, and the key word is used as a correcting factor, each candidate recognition result can obtain more accurate score, and more accurate recognition results can be screened according to the corrected score.

The invention discloses a movie marking prediction method based on implicit bias and interest of friends. The method includes the steps of constructing a marking prediction model integrating personal bias with the interest of the friends according to movie marking logs of users and friend list data of the users, conducting model training to obtain bias matrixes of the users on movies, user implicit feature matrixes and article implicit feature matrixes, generating a friend interest implicit feature matrix through combination with the friend list data and the user implicit feature matrixes, generating a user-article prediction marking matrix according to the user implicit feature matrixes, the article feature matrixes, user-article bias matrixes and the friend interest implicit feature matrix, and finally generating a recommendation list for the users. Through the movie marking prediction method based on the implicit bias and the interest of the friends, marking bias of the users and article preferences of the friends are overall considered, and the recommendation quality is improved.

The embodiment of the invention discloses a named entity recognition method, which comprises the following steps: when an entity in a to-be-recognized text needs to be recognized, obtaining a word vector of a word segmentation entry in the to-be-recognized text; and according to the word vector of the word segmentation entry and the entity recognition model, determining a first score of each typeof label corresponding to the word segmentation entry; Respectively calculating a first matching score between the feature vector of the word segmentation entry and the label vector of each type of label, wherein the first matching score reflects the possibility that the word segmentation entry has each type of label; according to the first score and the first matching score, obtaining a second score of each type of label corresponding to the word segmentation entry, and adding the score of the label of the word segmentation entry in the entity dictionary on the basis of the first score. By combining the first matching score on the output layer of the entity recognition model and adding the score of the label of the word segmentation entry on the basis of the first score, the influence ofthe entity dictionary on calculation of the score of each type of label is enhanced, so that the calculated score is more accurate, and more entities can be recalled.

One or more embodiments of the invention disclose a score generating method and device, a storage medium and electronic equipment. The method comprises the steps of collecting an input evaluation voice set; obtaining an evaluation text corresponding to the evaluation voice set; comparing the evaluation text with a sample text; obtaining difference text information between the evaluation text and the sample text; based on the difference text information, scoring the evaluation voice set; generating a score corresponding to the evaluation voice set. By means of the one or more embodiments, the voice scoring accuracy can be improved.

The invention relates to a machine vision technology detection method based on depth learning, which relates to the technical field of industrial detection. A large number of defective product pictures are collected as samples by an industrial camera under a good industrial light source; These sample pictures are calibrated by software to mark the position of the defects concerned and the types ofdefects. The sample pictures marked with the defect types are used as the material hook part depth learning network model, and the depth learning network model is trained; The trained in-depth learning network model is imported into machine vision system, so as to identify various defects on the spot, and complete the sorting of defective products with industrial automation equipment. To avoid missed detection and false detection, new samples can be learned to improve the accuracy, adaptability and stability, and realize the expert system to meet the needs of various complex scenarios of industrial detection.

The invention discloses an automatic extraction and intelligent scoring system for handwritten Chinese characters or components and strokes. The automatic extraction and intelligent scoring system comprises an automatic extraction module for calligraphy practicing book images, an automatic extraction module for single Chinese characters, a Chinese character recognition module and a Chinese character scoring module. The automatic extraction module for calligraphy practicing books carries out preprocessing, image capture, correction, error reporting and format judgment on uploaded handwritten Chinese character photos, and the accuracy and the automation effect of image extraction are improved through the complete process. The automatic extraction module for single Chinese characters comprises a special processing method for pencil character extraction, so that a pencil character image can be effectively extracted; the established deep learning recognition model can quickly recognize handwritten Chinese characters, including space recognition; and Chinese character scoring adopts a structure+content comprehensive scoring method, the structure is the length and width values of Chinesecharacters, and the content is determined through cosine similarity. According to the method, the handwritten character pictures which are randomly uploaded can be automatically extracted and scored,and the method is suitable for low-age students who begin to learn Chinese characters and is greatly helpful for daily calligraphy practicing of calligraphy enthusiasts.

The invention relates to an audio signal scoring method, device, electronic equipment and a computer storage medium, which belong to the field of audio scoring. First original singing human voice signals separated from original singing signals are subjected to noise suppression processing, second original singing human voice signals with less residual accompaniment can be acquired, the second original singing human voice signals with less residual accompaniment are thus more accurate, the differences between the second original singing human voice signals and target audio signals can be reduced, and the score of the target audio signals is further more accurate.

The invention discloses a medical institution evaluation method and device and a computer readable storage medium which are applied to the field of intelligent recommendation. The method comprises thesteps of obtaining the attribute of a to-be-evaluated target medical institution; determining a plurality of evaluation indexes corresponding to the attributes according to the attributes of the target medical institution; acquiring research data used for indicating importance degrees of the plurality of evaluation indexes; determining weights respectively corresponding to the plurality of evaluation indexes according to the investigation data; evaluating the score of the target medical institution under each evaluation index to obtain the scores of the target medical institution under the plurality of evaluation indexes; and calculating the comprehensive score of the target medical institution by using the weights corresponding to the plurality of evaluation indexes and the scores of thetarget medical institution under the plurality of evaluation indexes. According to the application, the weights corresponding to the evaluation indexes are reasonably set according to the investigation data, and therefore the accurate and reasonable evaluation is conducted on the target medical institution.

The present invention provides methods for individualizing chemotherapy, and particularly methods for individualizing neoadjuvant chemotherapy. The present invention provides methods for predicting a cancer patient's response to neoadjuvant chemotherapy, including assessing the probability of a positive response upon treatment with candidate agents prior to surgery. In various aspects, the invention involves culturing a monolayer of malignant cells from an explant of a patient's biopsy specimen, such as a transcutaneous biopsy-sized specimen, and testing the malignant cells for resistance or sensitivity to one or a plurality of candidate agents for neoadjuvant therapy. In other aspects, the invention provides methods for accurately scoring and interpreting such assays, and discloses in vitro chemoresponse results that are predictive of a patient's pathological complete response (pCR) upon receiving the corresponding treatment regimen.

The invention discloses an armed mutual fencing entertainment sport high frequency wireless scoring system and method; the high frequency wireless scoring system comprises at least two wireless identification controllers respectively worn on corresponding armed sportsmen entering the field, a USB wireless host arranged in the field circumference, a computer host arranged on the field circumference, and an LED display arranged on the field circumference. A conventional wired scoring mode may restrain the free moves of the armed mutual fencing people, the novel system and method can solve said problems, can automatically identify equipment ID and different valid hit parts, can respectively automatically accumulate corresponding scores of the equipment hit parts, so the armed mutual fencing entertainment sport can be more flexibly carried out, and the results can be effectively recorded and displayed; the novel system and method can score multi-player mutual fencing entertainment sport.